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JPMorgan Applied AI ML Lead - Senior Machine Learning 
United Kingdom, England, London 
413062709

04.08.2024

Job responsibilities

  • Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
  • Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
  • Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
  • Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
  • Contribute to reusable code and components that are shared internally and also ext

Required qualifications, capabilities and skills

  • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with full time industry or research experience in the field.
  • Hands-on experience and solid understanding of machine learning and deep learning methods
  • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Scientific thinking and the ability to invent
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
  • Curious, hardworking and detail-oriented, and motivated by complex analytical problems
  • Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills

  • Strong background in Mathematics and Statistics
  • Familiarity with the financial services industries
  • Experience with A/B experimentation and data/metric-driven product development
  • Experience with cloud-native deployment in a large scale distributed environment
  • Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, opensource Hugging Face Models)
  • Knowledge in Reinforcement Learning or Meta Learning
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
  • Ability to develop and debug production-quality code
  • Familiarity with continuous integration models and unit test development